




'''simple docstring'''


import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links


def     SCREAMING_SNAKE_CASE							(   a_						:				Any					,       a_						:				Optional[int]=7      ):
  __a								=       None
  if token is not None:
    __a								=       {'Accept': 'application/vnd.github+json', 'Authorization': f"Bearer {token}"}

  # The id of a workflow (not of a workflow run)
  __a								=       '636036'

  __a								=       f"https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs"
  # On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
  url += f"?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}"

  __a								=       requests.get(a_					,       headers=a_      ).json()

  return result["workflow_runs"]


def     SCREAMING_SNAKE_CASE							(   a_						:				Dict      ):
  __a								=       get_daily_ci_runs(a_      )
  __a								=       None
  for workflow_run in workflow_runs:
    if workflow_run["status"] == "completed":
      __a								=       workflow_run['id']
      break

  return workflow_run_id


def     SCREAMING_SNAKE_CASE							(   a_						:				List[str]					,       a_						:				Optional[int]					,       a_						:				str      ):
  __a								=       get_last_daily_ci_runs(a_      )
  if workflow_run_id is not None:
    __a								=       get_artifacts_links(worflow_run_id=a_					,       token=a_      )
    for artifact_name in artifact_names:
      if artifact_name in artifacts_links:
        __a								=       artifacts_links[artifact_name]
        download_artifact(
            artifact_name=a_					,       artifact_url=a_					,       output_dir=a_					,       token=a_      )


def     SCREAMING_SNAKE_CASE							(   a_						:				Tuple					,       a_						:				List[str]					,       a_						:				Optional[int]      ):
  get_last_daily_ci_artifacts(a_					,       a_					,       a_      )

  __a								=       {}
  for artifact_name in artifact_names:
    __a								=       os.path.join(a_					,       f"{artifact_name}.zip"      )
    if os.path.isfile(a_      ):
      __a								=       {}
      with zipfile.ZipFile(a_      ) as z:
        for filename in z.namelist():
          if not os.path.isdir(a_      ):
            # read the file
            with z.open(a_      ) as f:
              __a								=       f.read().decode('UTF-8'      )

  return results









'''simple docstring'''


from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_					=   {
    "configuration_trajectory_transformer": [
        "TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrajectoryTransformerConfig",
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase_					=   [
      "TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
      "TrajectoryTransformerModel",
      "TrajectoryTransformerPreTrainedModel",
      "load_tf_weights_in_trajectory_transformer",
  ]


if TYPE_CHECKING:
  from .configuration_trajectory_transformer import (
      TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      TrajectoryTransformerConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_trajectory_transformer import (
        TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        TrajectoryTransformerModel,
        TrajectoryTransformerPreTrainedModel,
        load_tf_weights_in_trajectory_transformer,
    )


else:
  import sys

  UpperCAmelCase_					=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



